BHC3 Production Optimization is an AI-based application that allows well operators to view real-time production data, better project future production, and help optimise operations for improved oil and gas production rates.

The application uses machine learning algorithms to quickly aggregate historical and real-time data across production operations and creates a comprehensive view of the production from individual and multiple wells to the pipeline, distribution, and point-of-sale. It then applies machine learning to the data for anomaly detection, production forecasting, and prescriptive actions that improve production performance.

Derek Mathieson, chief marketing and technology officer, Baker Hughes, said, “BHC3 Production Optimization delivers the data visibility and optimisation capabilities that are critical for upstream businesses to meet production targets during a time of growing energy demand.

“Releasing this application is part of a continued commitment from Baker Hughes and C3.ai to help the energy industry improve productivity and efficiency with enterprise-scale AI applications.”

The application enables more precise and timely decision-making to optimise the right level of production to meet business goals and energy demand. Advanced machine learning models create a continuous, near real-time and accurate virtual representation of production operations by generating flow rate, pressure and temperature predictions of hydrocarbon production and flow across wells, pipelines, and network assets.

Additionally, the application uses a hybrid approach that draws on physics-based and data-driven AI models to generate predictions and prescribed actions that are accurate and easier to interpret. For example, engineers can now pinpoint exactly which injection wells to tune for higher production output.

Launched at the Baker Hughes Annual Meeting 2020, the application is now generally available to oil and gas customers globally.